Color Models part 1-Digital Image Processing-Lecture Slides, Slides of Digital Image Processing

Dr. Chittaranjan Verma delivered this lecture for Digital Image Processing course at B R Ambedkar National Institute of Technology. It includes: Announcement, Color, Space, Models, System, Facilitate, Specification, Corresponds

Typology: Slides

2011/2012

Uploaded on 07/20/2012

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Announcements
Quiz # 2 will be held in the 13th week
(April 19 – April 24, 2010)
Pattern of this quiz will be same as that of Quiz # 1
There will be 3 quizzes in total. The best 2 quizzes
of each student are included in the final grading
Quiz # 3 will be held in 15th week
(May 3 – May 8, 2010)
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Download Color Models part 1-Digital Image Processing-Lecture Slides and more Slides Digital Image Processing in PDF only on Docsity!

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Announcements ^ Quiz # 2 will be held in the 13

th^ week

(April 19 – April 24, 2010)  Pattern of this quiz will be same as that of Quiz # 1  There will be 3 quizzes in total. The best 2 quizzesof each student are included in the final grading  Quiz # 3 will be held in 15

th^ week

(May 3 – May 8, 2010)

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Color models (Color space orcolor system) ^ To facilitate the specification of colors, a color modelis used to specify a 3D coordinate system for colorrepresentation^ ^ Hardware-oriented color models: RGB model for colormonitors and color video cameras,^ ^ CMY model for color printers^ ^ YIQ model for color TV broadcast^ ^ HSI model decouples the color and the gray scaleinformation and closely corresponds to the human eyeinterpretation of colors

5

RGB color model^8

(^3) (2 )^ 16, 777, 216 colors

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RGB color model: Safe colors

RGB Safe Color Cube

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CMY and CMYK color model ^ Assume all color values are normalized to [0,1] ^ The^

CMY^ color

model

is^ used

in^ connection

with

generating hardcopy output  CMY color model:  CMYK:^

K^ is^ the

fourth^

color,^ black;

because

equal

amount of CMY produces a muddy-looking black, sinceblack is the predominant color in printing, we need toproduce true, pure black

1 1 1 C^

R M^

G Y^

B ^ ^

 ^ 

 ^ ^

 ^ 

 ^    ^

^  ^ ^

 ^ 

 ^ ^

 ^ 

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HSI color model ^ RGB and CMY are not well suited for describingcolors for human interpretation ^ Hue (H), Saturation (S), and Intensity (I)^ ^ Hue: color attribute that describes a pure color (e.g., pureyellow or red)^ ^ Saturation: a measurement of the degree to which a purecolor is diluted by white light^ ^ Intensity can be decoupled from the color information (Hand S) ^ HSI is ideal for processing color image based on thecolor sensing properties of the human visual system

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HSI color model ^ Intensity (I)The line joining vertex (0,0,0): black and vertex(1,1,1): white. All points along this axis are gray.

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HSI color model: Visualization

The Hue component describesthe color itself in the form of anangle between [0,360] degrees. 0degree mean red, 120 meansgreen, 240 means blue. 60degrees is yellow, 300 degrees is

magenta.

^ Circular color plane perpendicular to the vertical intensity axisThe Saturation component signalshow much the color is polluted withwhite color. The range of the Scomponent is [0,1].

The Intensity range is between[0,1] and 0 means black, 1means white.

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HSI color model: Visualization^ ^ Triangular color plane perpendicular to the vertical intensityaxis

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Conversion between RGB andHSI models ^ HSI^

^ RGB:

Given values of HSI in the range [0,1]

(1^ )

cos 1 cos

For 0^

12 (60^ )

B^ I^ S S^ (^ )

H

R^ I^

H

G^

H    R^ B

^ ^

^  

 

Fo

0 (1 ) cos 1 cos

r 120^

24 (60^ )

1 (^

H^ H R^ I^

S S^

H

G^ I

H H

B^ R

^  ^  ^^ G

^ ^

^ ^ 

Fo r 240^360 (1^ ) cos^1 cos(^

1 (^

H^ H G^ I^

S S^ H

B^ I

H H

R^ G

^  ^  ^^ B

^ ^

 ^ 

   docsity.com